Rose-Mary Boustany | Neurodegeneration | Best Researcher Award

Published on 03/06/202503/06/2025 by TOT Awards

Prof. Dr. Rose-Mary Boustany | Neurodegeneration | Best Researcher Award

Director at American Univercity of Beirut, Lebanon

Prof. Dr. Rose-Mary Boustany is a tenured Professor of Pediatrics, Adolescent Medicine, Biochemistry, and Molecular Genetics at the American University of Beirut Medical Center (AUBMC), where she also serves as Director of the Neurogenetics Program and Chief of Pediatric Neurology. She has held prestigious academic and leadership roles at both AUBMC and Duke University, including Chairperson of the Abu Haidar Neuroscience Institute and Acting Chair of Psychiatry. Renowned for her pioneering work in pediatric neurogenetics, she leads the Special Kids Clinic and has contributed over four decades of clinical, academic, and translational research excellence. With continuous research funding since 1987 and more than $10 million in support, Prof. Boustany’s discoveries in Batten disease, CLN gene therapy, and neurodegeneration have positioned her as a global leader in the field. She holds multiple patents and has mentored numerous future scientists and clinicians worldwide. 🌍🧠📚

professional profile

Scopus Profile

ORCID

Education

Dr. Boustany received her early education at the German School and International College in Beirut, graduating with honors in scientific baccalaureate. She completed her B.S. in 1975 and earned her M.D. from the American University of Beirut in 1979. Her postgraduate medical training began at AUBMC in Pediatrics and continued at Harvard Medical School and Massachusetts General Hospital, where she completed residencies in Neurology and Pediatric Neurology and a fellowship in Neurogenetics and Neurochemistry at the Shriver Center. Dr. Boustany obtained board certifications from the American Board of Medical Genetics and the American Board of Psychiatry and Neurology (with special competence in Child Neurology), and subspecialty credentials from the Lebanese Order of Physicians. Her academic trajectory has been marked by rigorous clinical and scientific training, enabling her to bridge molecular biology with neurology in both patient care and research. 🎓🧬🧠

Work Experience

Dr. Boustany began her academic career at Harvard and MGH as Instructor and later Assistant Professor of Neurology. She joined Duke University Medical Center in 1988, where she rose through the ranks to become a Tenured Professor of Pediatrics, Neurobiology, and Medicine by 2003. She has served as a Visiting Scholar at UNC Chapel Hill and held several adjunct appointments in Pediatrics through Duke. Since 2005, she has held senior leadership roles at AUBMC, including Chairperson of the Abu-Haidar Neuroscience Institute and Acting Chair of Psychiatry. She is currently Director of the Neurogenetics Program, Chief of Pediatric Neurology, and Director of the Special Kids Clinic. Her career is a fusion of academic leadership, clinical excellence, and bench-to-bedside research, making her one of the most influential figures in pediatric neurogenetics in the Middle East and globally. 🏥📖🧑‍⚕️

🏅 Awards and Honors

Dr. Boustany’s distinguished career has earned her numerous honors, including the AUB Board of Trustees Designated Professorship in 2022. She is the recipient of continuous research support since 1987, totaling over $10.7 million in grants, including from NIH, the Lebanese Research Council, Dubai Harvard Foundation, and private foundations. She holds multiple patents for innovations in treatment of Batten disease, CLN gene-related disorders, and neuroprotection. Her discoveries have led to licensed technologies with major pharmaceutical companies. Among her accolades are major NIH grants (e.g., RO1), high-impact publications, and groundbreaking work on the role of ceramide signaling and subunit-9 in neurodegeneration. Dr. Boustany is also recognized as a trailblazer for women in science and medicine in Lebanon and the region, having trained generations of neurologists, geneticists, and pediatricians. 🏆🔬📜

Research Focus

Dr. Boustany’s research focuses on pediatric neurogenetics, with an emphasis on neurodegenerative lysosomal storage disorders, especially neuronal ceroid lipofuscinoses (NCL or Batten disease). Her team was among the first to identify the role of subunit-9 of ATP synthase in neurodegeneration, and she has since worked extensively on CLN3, CLN8, and CLN9 genes, aiming to develop gene and small molecule therapies. Her work bridges molecular pathways, clinical phenotypes, and therapeutic strategies—including flupirtine and GalCer—targeting apoptosis and inflammation. Dr. Boustany also explores autism genetics, breast cancer biomarkers, and biomaterials for neuroprotection. She holds patents on gene-based treatments, FRET biosensors, and novel pyridine carbamate derivatives. Her translational research is supported by major grants and pharmaceutical partnerships. Her overarching aim is to develop effective diagnostic and therapeutic tools for children with rare and complex neurological diseases. 🧬🧠💊

Conclusion

Dr. Rose-Mary Boustany exemplifies the ideal recipient of the Research for Best Researcher Award. Her exceptional and sustained impact in neurogenetics, deep academic and clinical integration, leadership in translational science, and rich legacy of mentorship stand as a model of excellence in biomedical research. Her career reflects a rare blend of scholarly depth, clinical innovation, and societal impact—making her a compelling and worthy awardee. With slight advancements in global outreach and digital research presence, she could further solidify her influence as a global thought leader in neuroscience and rare disease research.

Publications to Noted

Title: Expanded Phenotype of the Cln6nclf Mouse Model
Authors: Victoria Chaoul, Sara Saab, Omar Shmoury, Jihane Soueid, Rose Mary Naaman Boustany
Citations: 0
Year: 2025

Title: Elucidating the clinical and genetic spectrum of inositol polyphosphate phosphatase INPP4A-related neurodevelopmental disorder
Authors: Lettie E. Rawlins, Reza Maroofian, Stuart J. Cannon, Emma L. Baple, Andrew H. Crosby
Citations: 0
Year: 2025

Title: High Diagnostic Yield and Clinical Utility of Next-Generation Sequencing in Children with Epilepsy and Neurodevelopmental Delays: A Retrospective Study
Authors: Daniel Charouf, Derryl J. Miller, Laith Haddad, Rose Mary Naaman Boustany, Makram M. Obeid
Citations: 3
Year: 2024

Title: Cerliponase alfa and neuronal ceroid lipofuscinosis type 2: long-term outcomes and lessons for future research
Author: Rose Mary Naaman Boustany
Citations: 3
Year: 2023

Title: A novel autism-associated UBLCP1 mutation impacts proteasome regulation/activity
Authors: Jihane Soueid, Zeinab Hamze, Joe Bedran, Maria H. Chahrour, Rose Mary Naaman Boustany
Citations: 4
Year: 2023

Title: Noncoding variants alter GATA2 expression in rhombomere 4 motor neurons and cause dominant hereditary congenital facial paresis
Authors: Alan P. Tenney, Silvio Alessandro Di Gioia, Bryn D. Webb, Irini Manoli, Elizabeth C. Engle
Citations: 14
Year: 2023

Title: Whole-exome screening for primary congenital glaucoma in Lebanon
Authors: Nadine J. Makhoul, Zahi Wehbi, Dalia El Hadi, Rose Mary Naaman Boustany, Christiane Elias Al-Haddad
Citations: 3
Year: 2023

Title: Amblyopia risk factors among pediatric patients in a hospital-based setting using photoscreening
Authors: Christiane Elias Al-Haddad, Zeinab El Moussawi, Stephanie Hoyeck, Mona Hnaini, Rose Mary Naaman Boustany
Citations: 4
Year: 2021

Title: A signature of four circulating microRNAs as potential biomarkers for diagnosing early-stage breast cancer
Authors: Maha M. Itani, Farah J. Nassar, Arafat H. Tfayli, Nathalie Khoueiry-Zgheib, Rihab R. Nasr
Citations: 46
Year: 2021

Title: LINE-1 methylation mediates the inverse association between body mass index and breast cancer risk: A pilot study in the Lebanese population
Authors: Zainab Awada, Liacine Bouaoun, Rihab R. Nasr, Nathalie Khoueiry-Zgheib, Akram Ghantous
Citations: 5
Year: 2021

Xiuxia Sun | Protein Science | Best Researcher Award

Published on 03/06/202503/06/2025 by TOT Awards

Assoc. Prof. Dr. Xiuxia Sun | Protein Science | Best Researcher Award

Associate Professor at Lanzhou University, China

Assoc. Prof. Dr. Xiuxia Sun is a leading researcher and educator in pharmaceutics and bioanalytical chemistry at the School of Pharmacy, Lanzhou University. With a strong background in peptide-based and protein-based biomaterials, she focuses on developing innovative diagnostic tools and next-generation biomedical materials. She earned her Ph.D. in Analytical Chemistry from Lanzhou University and completed a postdoctoral fellowship in Biology at the same institution. Dr. Sun has authored over 20 impactful peer-reviewed publications and serves as a mentor to undergraduate and postgraduate students. Her research integrates chemistry, biology, and material science, with particular emphasis on collagen mimetic peptides, fluorescence-based sensors, and tissue engineering. She is proficient in both English and Chinese and contributes significantly to the scientific community through collaborative research, teaching, and national-level funding projects. Her dedication to biomimetic innovation and translational medicine continues to drive progress in disease diagnostics and regenerative therapies. 🧫📚🧪

professional profile

Scopus Profile

Education

Dr. Xiuxia Sun’s academic journey is rooted in chemistry and biomedical sciences, having completed all her higher education at Lanzhou University, one of China’s premier research institutions. She obtained her Bachelor’s degree in Chemistry, followed by a Master of Science in Chemical Engineering from 2013 to 2016. Her graduate work laid the foundation for her Ph.D. in Analytical Chemistry, which she completed from 2016 to 2019. Her doctoral studies focused on collagen peptides and advanced bio-sensing systems, combining materials science with biochemical analysis. From 2019 to 2021, she undertook a postdoctoral fellowship in Biology at the School of Life Sciences, Lanzhou University, where she expanded her expertise in protein-based biomaterials and self-assembly technologies. Her academic foundation is multidisciplinary, spanning chemical engineering, analytical chemistry, biology, and pharmaceutics, which positions her at the intersection of fundamental research and applied medical science. 🎓🔬🧬

Work Experience

Dr. Sun currently serves as an Associate Professor of Pharmaceutics at Lanzhou University’s School of Pharmacy, where she teaches undergraduate courses and supervises graduate research in biomaterials and pharmaceutical science. Her academic experience is enriched by a postdoctoral research position (2019–2021) in Biology at the School of Life Sciences, Lanzhou University, where she contributed to interdisciplinary projects bridging biology and materials science. She has developed and taught key courses, including “Pharmaceutics,” published by the People’s Medical Publishing House in 2023. Dr. Sun has collaborated on numerous research projects and has an active role in publishing, mentoring, and promoting international collaborations. With hands-on experience in fluorescence spectroscopy, peptide design, collagen research, and nanomaterial synthesis, she is instrumental in the development of peptide and protein-based therapeutic technologies. Her dual roles in research and education have made her a respected figure in both academic and applied pharmaceutical fields. 🧑‍🏫📖🧪

Research Focus

Dr. Xiuxia Sun’s research lies at the cutting edge of bioanalytical chemistry, peptide self-assembly, and biomimetic materials, with a focus on translating fundamental science into practical biomedical applications. Her work centers on three core areas. First, in bioanalytical chemistry, she develops fluorescent peptide probes capable of selectively recognizing key protein biomarkers, enabling highly specific and sensitive tools for disease diagnostics. Second, she engineers peptide-based biomaterials, constructing self-assembling peptide systems that mimic the structure and function of the extracellular matrix, which are particularly valuable in tissue engineering and regenerative medicine. Third, she explores protein-based biomaterials, designing innovative, biocompatible, and cross-linked protein systems as next-generation therapeutic materials. Dr. Sun has a special interest in collagen mimetic peptides (CMPs) for use in diagnostics, imaging, and biological scaffolding. Her work also integrates luminescent nanofibers, bioactive hydrogels, and graphene-based biosensors. With over 20 peer-reviewed publications, her interdisciplinary approach spans materials chemistry, biophysics, and pharmaceutical sciences, contributing significantly to precision medicine. 🔬🧬

Conclusion

Dr. Xiuxia Sun is highly suitable for the Research for Best Researcher Award. Her portfolio reflects scientific excellence, interdisciplinary innovation, and real-world impact. Her research addresses pressing biomedical challenges with novel materials and techniques, particularly in diagnostics and regenerative medicine. With further international exposure and translational development, she is poised to become a leading global voice in biomimetic materials and bioanalytical science. Awarding Dr. Sun would not only recognize her outstanding achievements but also promote impactful female leadership in biomedical research.

Publications to Noted

Title: Strategic enhancement of collagen detection using lanthanide-functionalized collagen targeted peptides
Authors: Jean Claude Munyemana, Xiuxia Sun, Lu Li, Eskandar Qaed, Jianxi Xiao
Citations: 1
Year: 2025
Journal: Talanta

Title: Design and development of a soluble PDA-Emodin-PVP-MN patch and its anti-obesity effect in rats
Authors: Haijiao Wang, Lifang Wang, Meng Wang, Xuefeng Li, Yanbin Shi
Citations: 0
Year: 2025
Journal: Drug Delivery and Translational Research
(Xiuxia Sun not listed as author in this one)

Title: Low-temperature DLP 3D printing of low-concentration collagen methacryloyl for the fabrication of durable and bioactive personalized scaffolds
Authors: Xiaxia Yang, Linyan Yao, Xiuxia Sun, Lili Wang, Jianxi Xiao
Citations: 8
Year: 2024
Journal: Chemical Engineering Journal

Title: A graphene oxide-based FRET sensor for rapid and specific detection of unfolded collagen fragments
Authors: Xiuxia Sun, Jun Fan, Yuping Zhang, Hongli Chen, Yongqing Zhao, Jianxi Xiao
Citations: Not provided (previously recorded: approx. 25)
Year: 2016
Journal: Biosensors and Bioelectronics

Title: A highly specific graphene platform for sensing collagen triple helix
Authors: Xiuxia Sun, Jun Fan, Weiran Ye, Han Zhang, Yong Cong, Jianxi Xiao
Citations: Not provided (estimated: >20)
Year: 2016
Journal: Journal of Materials Chemistry B

Title: CD and NMR investigation of collagen peptides mimicking a pathological Gly-Ser mutation and a natural interruption in a similar highly charged sequence context
Authors: Xiuxia Sun, Songqing Liu, Wenyuan Yu, Shaoru Wang, Jianxi Xiao
Citations: Not provided (estimated: ~15)
Year: 2016
Journal: Protein Science

Title: A natural interruption displays higher global stability and local conformational flexibility than a similar Gly mutation sequence in collagen mimic peptides
Authors: Xiuxia Sun, Yalin Chai, Qianqian Wang, Huanxiang Liu, Shaoru Wang, Jianxi Xiao
Citations: Not provided (estimated: ~15)
Year: 2015
Journal: Biochemistry

Title: Immobilized trypsin on hydrophobic cellulose decorated nanoparticles shows good stability and reusability for protein digestion
Authors: Xiuxia Sun, Xiangdong Cai, Renqi Wang, Jianxi Xiao
Citations: Not provided (estimated: ~10)
Year: 2015
Journal: Analytical Biochemistry

Title: Hydrogen bonding at the natural interruption sites in Type IV collagen drives the formation of single-component heterotrimer collagen peptides
Authors: Jianxi Xiao, Xiuxia Sun, Balaraman Madhan, Barbara Brodsky, Jean Baum
Citations: Not provided (estimated: >20)
Year: 2015
Journal: Journal of Biological Chemistry

Title: Local amino acid sequence patterns dominate the heterogeneous phenotype for the collagen connective tissue disease Osteogenesis Imperfecta resulting from Gly mutations
Authors: Jianxi Xiao, Zhangfu Yang, Xiuxia Sun, Rayna Addabbo, Jean Baum
Citations: Not provided (estimated: ~20)
Year: 2015

Amine Bouachba | Fetal medicine | Young Scientist Award

Published on 02/06/202502/06/2025 by TOT Awards

Dr. Amine Bouachba | Fetal medicine | Young Scientist Award

Amine Bouachba at Necker Hospital, France

Dr. Amine Bouachba is a French pathologist with advanced expertise in fetal, placental, pediatric, and gynecologic pathology. He holds a Master’s in Congenital Anomalies from Paris Cité University and specialized training in fetal pathology. His clinical journey spans prestigious institutions including the Institut Curie, Marseille, Lyon, and Paris hospitals. Dr. Bouachba has distinguished himself in virtual fetal autopsy research and women’s cancer diagnostics. A dedicated educator, he has taught pathology for over five years at Aix-Marseille University and remains a frequent speaker at national medical conferences. Fluent in four languages and highly skilled in advanced imaging and diagnostics, he bridges clinical excellence with impactful academic contributions.

professional profile

Scopus Profile

ORCID

Education

Specialized Transversal Training: Fetal Pathology – 2023
Master’s Degree: Congenital Anomalies, Paris Cité University (2021–2022)
Medical Studies: First and Second Cycles (2013–2019)
Scientific Baccalaureate: High Honors – 2013

Throughout his academic path, Dr. Bouachba developed a rigorous foundation in medical diagnostics, fetal development, and research methodologies. His postgraduate work focused on developmental anomalies and postmortem fetal imaging, while his undergraduate clinical rotations provided hands-on pathology training. His dedication to interdisciplinary learning and high academic standing positioned him as a top-tier student and future leader in fetal medicine and diagnostics.

Work Experience

Dr. Bouachba is currently a Consultant Pathologist at Institut Curie, Paris, where he focuses on breast, uterine, and ovarian cancers. Previously, he completed residency training in pathology across Marseille, Lyon, and Paris, with subspecialties in fetal, placental, and pediatric pathology. He is also a Research Fellow at the LUMIERE Foundation, contributing to virtual autopsy innovation and fetal imaging protocols. Since 2022, he has also served as a locum pathologist, providing diagnostic services during high-volume demands. His experience bridges clinical diagnostics, hospital-based teaching, and research-driven pathology solutions.

Research Focus

Dr. Bouachba’s core research lies in fetal postmortem imaging (virtual autopsy), placental pathology, and women’s cancers. He has pioneered fetal MRI analysis, contributing to international standards for prenatal weight monitoring. His groundbreaking work demonstrated how postmortem CT surpasses traditional methods in fetal weight estimation. His COVID-19-related placental studies revealed crucial pathological patterns, directly influencing national public health policy. He is particularly passionate about bridging clinical imaging with computational tools (e.g., radiomics) to improve prenatal diagnostics and has advanced fetal volumetric imaging through 3D processing tools.

Conclusion

Highly suitable for the Research for Young Scientist Award.

Dr. Amine Bouachba presents a rare blend of clinical acumen, research innovation, and educational commitment. His groundbreaking contributions to fetal pathology and virtual autopsy techniques are not only scientifically valuable but have also impacted public health policy. He demonstrates a strong trajectory in academic medicine with a clear potential for future leadership in pathology and perinatal imaging research. With minor enhancements in grant leadership and international exposure, he would be a standout global researcher. At this stage, his accomplishments make him a compelling and deserving candidate for a prestigious young scientist recognition. 🏅🔬🌍

Publications to Noted

Normative range of MRI‐based fetal body volume and association with ultrasonographically estimated fetal weight at 16–36 weeks: prospective study (2025)

Ultrasound in Obstetrics & Gynecology

Contributors: A. Bouachba, R. Bartin, J. De Jesus Neves, et al.

Artificial intelligence, radiomics and fetal ultrasound: review of literature and future perspectives (2025)

Ultrasound in Obstetrics & Gynecology

Contributors: A. Bouachba, J. De Jesus Neves, E. Royer, et al.

Pregnancy in Times of War: What Are the Fallouts? A Review (2024)

Fetal Diagnosis and Therapy

Contributors: Amine Bouachba, Guillaume Gorincour, Philippe Charlier, Yves Ville

Postmortem CT better estimates fetal weight than the Hadlock’s formula (2023)

Diagnostic and Interventional Imaging

Contributors: Kawtar Debbi, Amine Bouachba, Julien Mancini, et al.

Placental Tissue Destruction and Insufficiency From COVID-19 Causes Stillbirth and Neonatal Death From Hypoxic-Ischemic Injury (2022)

Archives of Pathology & Laboratory Medicine

Contributors: David A. Schwartz, Elyzabeth Avvad-Portari, Pavel Babál, et al

Placental lesions and SARS-Cov-2 infection: Diffuse placenta damage associated to poor fetal outcome (2021)

Placenta

Contributors: Amine Bouachba, Fabienne Allias, Beatrice Nadaud, et al.

Emel Gümüş | Nursing | Best Researcher Award

Published on 02/06/202502/06/2025 by TOT Awards

Dr. Emel Gümüş | Nursing | Best Researcher Award

Lecturer at Istinye University, Spain

Dr. Emel Gümüş is a highly accomplished Turkish healthcare professional with over two decades of experience in nursing leadership, healthcare management, and academic instruction. she currently serves as the Acting CEO and Chief Nursing Officer at Tashkent International Medical Center. Her journey began as a specialist nurse and grew into a dynamic leadership career, managing over 7,000 healthcare personnel across 31 hospitals during her tenure at MLPCare Group. Fluent in Turkish, English, and Russian, Dr. Gümüş combines clinical insight with strategic thinking, spearheading nursing reforms and digital health integrations. She is an active lecturer, teaching various health and management courses while coordinating Ministry-approved certification programs. Her professional contributions extend to global symposiums and congresses, where she shares expertise on artificial intelligence, nursing workforce, and critical care. Her profile reflects a balance of operational excellence, academic rigor, and community impact in the evolving world of healthcare. 🌍🏥📘

professional profile

Google Scholar

ORCID

Education

Dr. Emel Gümüş’s educational path showcases a deep commitment to interdisciplinary learning in healthcare and management. She earned her Ph.D. from Istanbul Cerrahpaşa University’s Institute of Health Sciences in Nursing Management (2017–2023). Her academic pursuits began with a Bachelor’s in Nursing from Sakarya University (2001–2005), which laid a clinical foundation for her leadership journey. She continued with an MBA in Management in Nursing from Marmara University (2006–2009), emphasizing her strategic perspective in healthcare. Additionally, she pursued Health Institutions Management at Anadolu University (2007–2011), strengthening her grasp on hospital systems and operational workflows. Her academic background is complemented by numerous certifications in statistics, quality management, biostatistics, safety, leadership, and digital health. Dr. Gümüş’s comprehensive education integrates science, administration, and innovation, enabling her to lead complex healthcare environments while nurturing the next generation of nursing professionals. 🎓📊💡

Work Experience

Dr. Emel Gümüş brings a wealth of experience from prestigious institutions in Turkey and abroad. Currently, she serves as Acting CEO and Chief Nursing Officer at Tashkent International Medical Center (2023–Present). From 2017 to 2020, she was the Director of Nursing Services for MLPCare Group, managing nursing operations across 31 hospitals, leading staffing, budget planning, and the implementation of the MAGNET model. She also coordinated health ministry-approved certificate programs in critical care and specialty nursing. Prior roles include Lecturer at Istinye and Bilgi Universities, Strategy Coordinator at Istinye University, and leadership roles at Istanbul Fertility Center and Duygu Hospital. Her journey began as a specialist nurse at Memorial Hospital and educator at Medical Park. Across roles, she’s demonstrated excellence in strategic leadership, education, quality systems, and innovation in clinical services. 👩‍⚕️🏥🌐

Research Focus

Her research focuses on nursing management, health systems leadership, workforce planning, and the integration of digital technologies in healthcare. Through doctoral studies and academic teaching, she emphasizes evidence-based approaches to improving nursing quality, patient safety, and organizational efficiency. Her participation in quantitative and qualitative data analysis training supports her commitment to robust research methodology. She has led workshops and courses on COVID-19 nursing care management, artificial intelligence applications in intensive care, and nursing leadership, underscoring her interest in innovation-driven care. By championing training for operating room and intensive care nursing, she has enhanced the depth and reach of specialized nursing practices. Her interest in sustainability and participation in green building forums signal a growing interdisciplinary perspective, merging clinical care with global health challenges. Ultimately, her research aligns closely with improving operational outcomes, patient experiences, and the future-readiness of health systems.

🏅 Awards and Honors

Although specific named awards are not listed, her recognition is evident through leadership roles and national training contributions. She has been entrusted with designing and managing over 10 Ministry of Health-approved certificate programs, including those in intensive care, operating room nursing, and COVID-19 care management. Her role as keynote speaker at international and national congresses, such as the 4th International Intensive Care Nursing Congress (2024), and her invitation to sustainability forums demonstrate high regard in professional circles. Her implementation of the MAGNET Nursing Model and her leadership of multidisciplinary teams in top-tier hospitals reflect both institutional recognition and peer respect. She has consistently been chosen to manage strategic hospital openings and integrations, a testament to her reputation for excellence. Through her teaching, speaking engagements, and administrative innovations, she stands out as a healthcare leader deeply appreciated by both national health authorities and international collaborators.

Conclusion

The candidate demonstrates exceptional merit in academic leadership, healthcare innovation, and nursing education, qualifying her as a strong contender for awards in clinical leadership, healthcare education, and nursing innovation. However, to win a Best Researcher Award, the profile would benefit from an expanded publication record and documented research metrics. If supplemented with published research outputs, this candidate would not only meet but exceed criteria for top-tier research recognitions.

Publications to Noted

📘 Effect of dietary lipid & carbohydrate in rainbow trout
👩‍⚕️ Authors: E Silver, R Twin
📊 Citations: 93
📅 Year: 2009

📘 “I’m a hero, but…”: Depression, anxiety, and stress of frontline healthcare workers during COVID-19
👩‍⚕️ Authors: H Alan, F Eskin Bacaksiz, H Tiryaki Sen, G Taskiran Eskici, E Gumus, …
📊 Citations: 63
📅 Year: 2021

📘 Determinants of missed nursing care in private sector
👩‍⚕️ Authors: F Eskin Bacaksiz, H Alan, G Taskiran Eskici, E Gumus
📊 Citations: 61
📅 Year: 2020

📘 COVID-19 crisis management by nurse managers in Türkiye
👩‍⚕️ Authors: U Baykal, H Alan, S Gungor, DE Tekin, E Gumus
📊 Citations: 21
📅 Year: 2020

📘 Homophobia & discrimination among private sector healthcare professionals
👩‍⚕️ Authors: G Taskiran Eskici, H Alan, F Eskin Bacaksiz, E Gumus, H Cakir, …
📊 Citations: 18
📅 Year: 2021

📘 Professional quality of life & work alienation among healthcare workers
👩‍⚕️ Authors: E Silver, H Alan, GT Eskici, FE Legless
📊 Citations: 10
📅 Year: 2021

📘 Leadership behavior & job satisfaction during COVID-19
👩‍⚕️ Authors: G Taskiran Antique Dealer, E Uysal Butcher, E Gumus
📊 Citations: 9
📅 Year: 2023

📘 The future of nursing: robot nurses
👩‍⚕️ Authors: E Silver, EU Butcher
📊 Citations: 8
📅 Year: 2021

📘 Anxiety about AI in the health ecosystem: Nurse sample
👩‍⚕️ Authors: E Silver, EU Butcher
📊 Citations: 6
📅 Year: 2022

📘 The future of nursing: robot nurses (duplicate entry)
👩‍⚕️ Authors: E Silver, EU Butcher
📊 Citations: 5
📅 Year: 2021

📘 COVID-19 outbreak in Turkey: Nurse managers’ experiences
👩‍⚕️ Authors: Ü Baykal, E Türkmen, H Alan, Ç Yılmaz Başulaş, N Göktepe, E Gümüş, …
📊 Citations: 4
📅 Year: 2020

📘 “I’m a hero…” psychological toll on healthcare workers (duplicate entry)
👩‍⚕️ Authors: H Alan, FE Bacaksız, HT Şen, GT Eskici, E Gümüş, AKH Seren
📊 Citations: 3
📅 Year: 2020

📘 Problems faced by Turkish teachers in classroom management
👩‍⚕️ Authors: E Silver
📊 Citations: 3
📅 Year: 2016

Pedro Hernández-Cortés | Orthopedic | Best Research Article Award

Published on 02/06/202502/06/2025 by TOT Awards

Prof. Pedro Hernández-Cortés | Orthopedic | Best Research Article Award

Professor at Granada University, Spain

Professor Pedro Hernández Cortés is a Full Professor in the Department of Surgery and its Specialties at the University of Granada and a leading authority in orthopedic and hand surgery. A graduate in Medicine and Surgery in 1989, he earned his Ph.D. from the University of Granada in 1996. With a robust clinical and academic background, he is Head of the Upper Extremity, Hand, and Microsurgery Section at San Cecilio University Hospital. He holds both the National (2002) and European (2021) Diplomas in Hand Surgery. Professor Hernández has made significant contributions to medical education and research, authoring 88 scientific publications and supervising numerous theses. His influence extends across Spain and Europe, with invited lectures, collaborative research, and leadership in postgraduate medical education. His deep commitment to surgical innovation and academic excellence continues to shape the future of trauma and orthopedic care. 🏥📘🦴

professional profile

Scopus Profile

ORCID

Education

Pedro Hernández Cortés began his medical career at the University of Granada, earning his degree in Medicine and Surgery in 1989. He later completed his Ph.D. in Medicine and Surgery in 1996 at the same institution, solidifying his academic foundation. Pursuing clinical specialization, he trained through Spain’s MIR system to become a Specialist in Orthopedic Surgery and Traumatology. He earned the National Diploma in Hand Surgery in 2002, followed by the prestigious European Diploma in Hand Surgery in 2021. His training also includes international clinical stays in France and Spain at elite institutions such as Saint Charles Hospital, La Peyronie, and the Hand and Brachial Plexus Surgery Unit at La Paz University Hospital in Madrid. This education pathway underscores his lifelong dedication to surgical mastery, academic leadership, and continuous advancement in orthopedic science and hand surgery. 📜🦾📚

Work Experience

With a dynamic professional journey, Professor Hernández is a Full Professor at the University of Granada, where he teaches in both undergraduate medical and physiotherapy programs and postgraduate master’s programs. He also serves as Head of the Upper Extremity, Hand, and Microsurgery Section at San Cecilio University Hospital. His teaching extends beyond academia to national and international surgical training programs. He has served as a tutor for residents, professor in several master’s programs, and faculty in courses organized by professional societies including the Spanish Society of Hand Surgery. He also held administrative leadership as Secretary of the Department of Surgery at the University of Granada from 2016 to 2021. His blended expertise in clinical surgery, teaching, and departmental leadership makes him a central figure in both the academic and healthcare communities. 🧑‍🏫🔬✋

Research Focus

Professor Hernández’s research is deeply rooted in orthopedic surgery, hand surgery, and microsurgery, with a growing focus on clinical innovation and surgical outcomes. His work bridges biomechanics, surgical techniques, and rehabilitation of upper extremity disorders, particularly shoulder and hand pathology. Over his career, he has produced 88 scientific publications, 60 of which are indexed in high-impact JCR journals, advancing the literature in trauma, joint reconstruction, and nerve repair. He has directed 7 doctoral theses and 42 final degree or master’s theses, reflecting his mentorship in translational and clinical research. He collaborates on interdisciplinary studies within national research consortia and maintains active partnerships with renowned European and Spanish institutes. His research has a practical, patient-centered orientation, aimed at improving surgical precision and functional recovery. 🔎🧠🦴

🏅 Awards and Honors

Professor Pedro Hernández Cortés has received 22 research awards recognizing his clinical, academic, and scientific excellence. His remarkable research profile includes 3 six-year research periods (2005–2010, 2011–2016, 2017–2022) and contributions to 7 competitive national research projects, including leadership as principal investigator in a Carlos III Institute project in 2020. He has authored 3 complete books, contributed 40 book chapters, and delivered 160 scientific presentations. He has also been invited to speak at 107 national and international conferences and courses, reflecting his reputation as a thought leader in orthopedic and hand surgery. His prestigious certifications—National Diploma (2002) and European Diploma (2021) in Hand Surgery—further demonstrate his expertise. These honors underscore his longstanding commitment to innovation, education, and excellence in orthopedic medicine. 🏅📖🔝

Conclusion

Professor Pedro Hernández Cortés is highly suitable for nomination for the Research for Best Research Article Award, provided a standout article from his portfolio is nominated. His research track record, extensive publication history, leadership in education and clinical practice, and multiple recognitions make him an exceptional candidate. By selecting and showcasing a single impactful article that aligns with the award’s theme—especially if tied to translational outcomes or innovation in hand surgery—his nomination would be both compelling and competitive.

Publications to Noted

1. Impact of surgery on rehabilitation care and quality of life perceived by patient with post-stroke upper limb spasticity: Study protocol for a randomized controlled trial

Authors:

Hurtado-Olmo, Patricia

González-Santos, Angela

Del-Olmo-Iruela, Laura

Hita-Contreras, Fidel

Hernández-Cortés, Pedro

Journal: PLoS ONE

Year: 2025

2. Changes in the Relationship Between Gray Matter, Functional Parameters, and Quality of Life in Patients with a Post-Stroke Spastic Upper Limb After Single-Event Multilevel Surgery: Six-Month Results from a Randomized Trial

Authors:

Hurtado-Olmo, Patricia

Hernández-Cortés, Pedro

González-Santos, Angela

Del-Olmo-Iruela, Laura

Catena, Andrés

Journal: Diagnostics

Year: 2025

3. Cortistatin exerts an immunomodulatory and neuroprotective role in a preclinical model of ischemic stroke

Authors:

Castillo-González, Julia

Buscemi, Lara

Vargas-Rodríguez, Pablo

Hirt, Lorenz

González-Rey, Elena

Journal: Pharmacological Research

Year: 2024

4. Anthropometric study of the scapula in a contemporary population from Granada. Sex estimation and glenohumeral osteoarthritis prevalence

Authors:

Garzon-Alfaro, Adoración

Botella-López, Miguel C.

Rus, Guillermo A.

González-Ramírez, Amanda Rocío

Hernández-Cortés, Pedro

Journal: PLoS ONE

Year: 2024

5. Surgical Treatment in Post-Stroke Spastic Hands: A Systematic Review

Authors:

Hurtado-Olmo, Patricia

González-Santos, Angela

Pérez de Rojas, Javier

Del Olmo, Laura

Hernández-Cortés, Pedro

Type: Systematic Review

Year: Not explicitly stated (likely 2024 or 2025 based on citation data)

Citations: 2

Yang Lei | Medical Physics | Best Researcher Award

Published on 02/06/202502/06/2025 by TOT Awards

Dr. Yang Lei | Medical Physics | Best Researcher Award

Assistant Professor at Icahn School of Medicine at Mount Sinai, United States

Dr. Yang Lei is an Assistant Professor in the Department of Radiation Oncology at the Icahn School of Medicine at Mount Sinai and Adjunct Professor at the New York Proton Center. With a career spanning medical physics, AI applications in radiation therapy, and image-guided interventions, Dr. Lei has contributed extensively to the field through both academic and clinical avenues. He completed his postdoctoral research and medical physics residency at Emory University, where he also served as Chief Medical Physics Resident. His interdisciplinary expertise bridges therapeutic medical physics and advanced optimization algorithms for radiation treatment planning. Dr. Lei is an Associate Editor of Medical Physics and actively involved in professional communities such as AAPM, ASTRO, and the MR-Linac Consortium. Recognized with numerous awards and top-cited papers, Dr. Lei is a rising leader dedicated to advancing precision medicine and radiation oncology through innovative technology and collaborative science. 💡🔬

professional profile

Google Scholar

Education

Dr. Yang Lei’s academic path is defined by excellence in mathematical sciences and applied medical physics. He holds a Ph.D. in Information and Communication Engineering from Tianjin University (2016), where he developed face recognition algorithms using compressive sensing. He also earned an M.S. in Computational Mathematics (2013) and a B.S. in Mathematics & Computer Science (2010). From 2016 to 2021, he completed a postdoctoral fellowship at Emory University, focusing on AI-based image-guided radiation therapy. Dr. Lei further enhanced his clinical qualifications by completing a CAMPEP-accredited Medical Physics Certificate Program (2021–2022) and a Therapeutic Medical Physics Residency (2021–2024) at Emory University. His academic journey demonstrates a rare combination of mathematical theory, machine learning, and clinical innovation. This multidisciplinary education underpins his ability to drive impactful advancements in medical imaging, radiation therapy planning, and precision oncology. 🎓📘📊

Work Experience

Dr. Lei began his academic career as a postdoctoral fellow at Emory University in 2016, where he later became Chief Medical Physics Resident. He currently serves as Assistant Professor at Mount Sinai and Adjunct Professor at the New York Proton Center. His editorial contributions include serving as Associate Editor for Medical Physics, showcasing his leadership in peer review and publication ethics. Professionally, Dr. Lei has been deeply involved in advanced treatment planning, radiotherapy optimization, and AI-enhanced medical imaging. He is also an active member of several national and international working groups, such as the MR-Linac Consortium and AAPM’s Working Group on Student and Trainee Research. With experience in both research and clinical environments, Dr. Lei plays a crucial role in translating theoretical models into clinical applications. His trajectory reflects excellence in research, patient care, and professional service. 🏥🧠📈

Research Focus

Dr. Lei’s research integrates AI, optimization theory, and medical physics to enhance cancer treatment. His core focus is developing robust algorithms for inverse treatment planning, beam orientation optimization, and image-guided radiation therapy. He pioneers the use of large language models (LLMs) in auto-contouring and clinical decision support for brachytherapy and stereotactic body radiation therapy (SBRT). His past work includes sparse coding for face recognition, compressive sensing, and deep learning for medical image reconstruction. Dr. Lei’s research has evolved to cover non-convex optimization, second-order cone programming, and multi-objective treatment planning, significantly improving treatment precision. His projects emphasize translating computational models into clinical workflows to improve outcomes and reduce toxicity. His contributions advance the intersection of artificial intelligence, radiation oncology, and personalized medicine, setting new standards for automated and data-driven radiation therapy. 📊🤖⚕️

🏅 Awards and Honors

Dr. Lei has received numerous accolades for his academic contributions and clinical innovations. He is the recipient of a seed grant from Mount Sinai and a grant from Harvard Medical School’s Joint Center for Radiation Therapy. His research has earned recognition at multiple AAPM meetings, including the Science Council Research Award (2025) and top honors in Emory’s Annual Radiation Oncology Resident Research Day. Several of his papers have been named Wiley Top Cited and Downloaded Articles between 2020 and 2022, including first-author contributions in Medical Physics. His Editor’s Choice publication in Medical Physics and recognition as a Distinguished Reviewer in 2021 underscore his leadership in scientific communication. Dr. Lei also won Best Publication and Early-Career Investigator awards, solidifying his status as an emerging expert in radiation oncology and medical physics. 🥇📖🧪

🛠️ Skills

Dr. Lei brings a diverse and powerful skillset that spans computer science, applied mathematics, and clinical medical physics. He is proficient in machine learning frameworks (e.g., TensorFlow, PyTorch), optimization solvers (e.g., Gurobi, CVXPY), and programming languages including Python, MATLAB, and C++. His expertise covers sparse coding, compressed sensing, inverse planning, and second-order cone programming. Clinically, he is skilled in IMRT, VMAT, SBRT, HDR brachytherapy, and MR-guided radiation therapy. Dr. Lei is also adept in using treatment planning systems such as Eclipse, RayStation, and Monaco, and image processing platforms like 3D Slicer and MIM. He is experienced in deploying AI models in a medical physics workflow and integrating LLMs for auto-segmentation. His editorial, research, and mentoring experience further enhance his leadership in academic and professional settings. 💻🧠📐

Conclusion

Dr. Yang Lei is exceptionally qualified for the Research for Best Researcher Award. His scholarly productivity, clinical relevance, and technical innovation represent the highest standards of medical physics and data-driven oncology. His growing leadership in the research community, proven track record of publishing high-impact work, and commitment to education and mentoring make him a standout nominee. While future goals may include greater global visibility and expanded grant leadership, his current achievements already place him among the most promising and impactful researchers in his field. He is a compelling and deserving candidate for this honor.

Publications to Noted

Title: Deep learning in medical image registration: a review
Authors: Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang
Citations: 769
Year: 2020

Title: Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN
Authors: X Dong, Y Lei, T Wang, M Thomas, L Tang, WJ Curran, T Liu, X Yang
Citations: 361
Year: 2019

Title: MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks
Authors: Y Lei, J Harms, T Wang, Y Liu, HK Shu, AB Jani, WJ Curran, H Mao, T Liu, …
Citations: 359
Year: 2019

Title: Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography
Authors: J Harms, Y Lei, T Wang, R Zhang, J Zhou, X Tang, WJ Curran, T Liu, …
Citations: 314
Year: 2019

Title: A review on medical imaging synthesis using deep learning and its clinical applications
Authors: T Wang, Y Lei, Y Fu, JF Wynne, WJ Curran, T Liu, X Yang
Citations: 307
Year: 2021

Title: Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Authors: B Wang, Y Lei, S Tian, T Wang, Y Liu, P Patel, AB Jani, H Mao, WJ Curran, …
Citations: 273
Year: 2019

Title: A review of deep learning based methods for medical image multi-organ segmentation
Authors: Y Fu, Y Lei, T Wang, WJ Curran, T Liu, X Yang
Citations: 232
Year: 2021

Title: CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy
Authors: Y Liu, Y Lei, T Wang, Y Fu, X Tang, WJ Curran, T Liu, P Patel, X Yang
Citations: 214
Year: 2020

Title: Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network
Authors: X Dong, Y Lei, S Tian, T Wang, P Patel, WJ Curran, AB Jani, T Liu, X Yang
Citations: 212
Year: 2019

Title: Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Authors: Y Lei, S Tian, X He, T Wang, B Wang, P Patel, AB Jani, H Mao, WJ Curran, …
Citations: 195
Year: 2019

Guanbo Wang | Biostatistics | Best Researcher Award

Published on 02/06/202502/06/2025 by TOT Awards

Assist. Prof. Dr. Guanbo Wang | Biostatistics | Best Researcher Award

Assistant professor at The Dartmouth Institute, United States

Dr. Guanbo Wang is an Assistant Professor at The Dartmouth Institute for Health Policy and Clinical Practice and the Department of Biomedical Data Science, Dartmouth College. He specializes in biostatistics, causal inference, and machine learning, with a commitment to advancing statistical methodologies for improving public health. His work focuses on data integration, trial design, and personalized medicine using multi-source data such as randomized clinical trials and electronic health records. Dr. Wang holds a Ph.D. and M.Sc. in Biostatistics from McGill University, with research stints at Harvard University. He has collaborated with leading institutions like Harvard T.H. Chan School of Public Health, Biogen, and Roche, contributing to diverse therapeutic areas including cancer, cardiovascular diseases, and pediatric health. His academic contributions are evidenced by his prolific publication record and roles in high-impact research projects. Dr. Wang is also an active mentor, reviewer, and member of professional societies in statistics and epidemiology. 📊

professional profile

Google Scholar

Scopus

ORCID

Education

Dr. Guanbo Wang earned his Ph.D. in Biostatistics (2017–2022) and M.Sc. in Biostatistics (2015–2017) from McGill University, under esteemed mentors such as Robert Platt, Mireille Schnitzer, and Andrea Benedetti. His doctoral and master’s work emphasized causal inference, high-dimensional data, and clinical applications. He also completed a visiting scholar stint at Harvard University’s Department of Population Medicine in 2019, guided by Rui Wang. Currently, he is completing a Postdoctoral Fellowship (2022–2025) in Epidemiology at CAUSALab, Harvard T.H. Chan School of Public Health, mentored by Issa Dahabreh. His academic training integrates theoretical statistics with real-world medical challenges, contributing to a solid foundation in methodological development and applied health sciences. With additional statistical training from China, Dr. Wang’s global academic background uniquely equips him to tackle multifaceted health data challenges. 📘📈

Work Experience

Dr. Wang’s professional journey spans academia, industry, and collaborative health research. Since 2023, he has served as a research collaborator at Harvard’s CBAR on pediatric HIV/AIDS studies. Previously, he interned at Genentech/Roche, where he augmented early-phase oncology trials using external data. He consulted for Biogen on machine learning in neurology and supported various clinical research projects at McGill-affiliated hospitals. Earlier roles include internships with firms such as KPMG, AXA Insurance, and the National Bureau of Statistics of China, where he developed analytics and business strategies. Dr. Wang has also taught graduate courses and mentored students at McGill and Harvard. These experiences reflect his ability to bridge complex statistical theory with practical solutions in both research and corporate settings. 🏥📊

Awards and Honors

Dr. Wang has earned widespread recognition through prestigious awards and fellowships reflecting his scholarly excellence. He is a co-investigator on the $31M PCORI-funded RAPTOR-CIED project, supporting cardiac device care optimization. He was awarded the FRQS Doctorate Fellowship (2019–2022), valued at CAD 70,000, for his work on machine learning in anticoagulant effectiveness. Additional honors include the Research Institute of MUHC Fellowship (CAD 9,125), Harvard Pilgrim Fellowship (USD 4,000), and the CRM StatLab Award. Dr. Wang has also received the McGill Graduate Excellence Award (CAD 40,227), the McGill GREAT Award, and travel grants from the Statistical Society of Canada. His competitive success in acquiring NIH and CIHR funding as a trainee and collaborator further reflects his leadership in health data science. These distinctions underscore his impact on high-stakes research, statistical innovation, and mentorship within interdisciplinary academic and clinical communities. 🏆📑

Research Focus

Dr. Wang’s research lies at the intersection of causal inference, machine learning, and health policy. He focuses on developing robust statistical methods for data integration—particularly combining randomized controlled trials with real-world data sources to generate generalizable and actionable evidence. In personalized medicine, his work aims to evaluate treatment heterogeneity by leveraging multi-source longitudinal datasets and time-to-event outcomes. He also develops advanced methods for complex clinical trial designs, including adaptive, early-phase, and cluster-randomized trials. Another research stream explores how to incorporate prior clinical knowledge into high-dimensional prediction models to improve interpretability and clinical relevance. Methodologically, Dr. Wang draws on non/semi-parametric statistics, optimization, survival analysis, and computational methods. His work addresses diseases across pediatrics, oncology, cardiology, infectious diseases, and mental health. With a mission to inform precision health decisions, Dr. Wang’s research supports a deeper understanding of treatment effects across diverse populations and care settings. 🧬🧠📉

Conclusion

Dr. Guanbo Wang is an exceptional candidate for the Research for Best Researcher Award. His profile demonstrates a rare blend of theoretical innovation, real-world applicability, and academic leadership. His interdisciplinary and collaborative approach, especially in causal inference for healthcare, aligns perfectly with the award’s objectives to recognize researchers who push the boundaries of impactful, rigorous science.

Publications to Noted

Title: Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis
Authors: AA Siddique, ME Schnitzer, A Bahamyirou, G Wang, TH Holtz, GB Migliori, …
Citations: 31
Year: 2019

Title: Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning: An observational individual patient data network meta-analysis
Authors: G Wang, ME Schnitzer, D Menzies, P Viiklepp, TH Holtz, A Benedetti
Citations: 18
Year: 2020

Title: Using Effect Scores to Characterize Heterogeneity of Treatment Effects
Authors: G Wang, PJ Heagerty, IJ Dahabreh
Citations: 17
Year: 2024

Title: Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
Authors: Y Liu, ME Schnitzer, G Wang, E Kennedy, P Viiklepp, MH Vargas, …
Citations: 11
Year: 2022

Title: Evaluating hybrid controls methodology in early-phase oncology trials: a simulation study based on the MORPHEUS-UC trial
Authors: G Wang, MP Costello, H Pang, J Zhu, HJ Helms, I Reyes-Rivera, RW Platt, …
Citations: 9
Year: 2023

Title: Predictive factors of detectable viral load in HIV-infected patients
Authors: A Bouchard, F Bourdeau, J Roger, VT Taillefer, NL Sheehan, M Schnitzer, G Wang, …
Citations: 9
Year: 2022

Title: Robust integration of external control data in randomized trials
Authors: G Wang, R Karlsson, JH Krijthe, IJ Dahabreh
Citations: 6
Year: 2024

Title: Penalized G-estimation for effect modifier selection in the structural nested mean models for repeated outcomes
Authors: A Jaman, G Wang, A Ertefaie, M Bally, R Lévesque, R Platt, M Schnitzer
Citations: 6
Year: 2024

Title: Combining an experimental study with external data: study designs and identification strategies
Authors: L Ung, G Wang, S Haneuse, M Hernán, I Dahabreh
Citations: 4
Year: 2024

Emre Karakaya | Mining Engineering | Best Research Article Award

Published on 30/05/202530/05/2025 by TOT Awards

Dr. Emre Karakaya | Mining Engineering | Best Research Article Award

Research Assistant at Konya Technical University, Turkey

Dr. Emre Karakaya is a dedicated Research Assistant in the Department of Mining Engineering at Konya Technical University, Türkiye. With a strong academic foundation and a passion for technological innovation in mining, Dr. Karakaya focuses on advancing mechanical mining techniques and integrating artificial intelligence in geological analysis. He earned his B.Sc. and M.Sc. in Mining Engineering from Selçuk University, followed by a Ph.D. from Konya Technical University in 2024. His work bridges traditional mining practices with emerging technologies such as artificial neural networks and image processing. Dr. Karakaya has spearheaded several research initiatives and is the author of influential publications aimed at improving rock texture analysis and deliverability forecasting models. As an active member of the Union of Chambers of Turkish Engineers and Architects (TMMOB), he contributes to both academic and professional mining communities. His research is anchored in real-world applications and guided by a vision to modernize geological and mining processes.

professional profile

ORCID

Education

Dr. Emre Karakaya’s educational journey reflects a deep-rooted commitment to the field of mining engineering. He completed his Bachelor of Science (B.Sc.) in Mining Engineering from Selçuk University in 2015, where he first developed a strong interest in mechanical mining and geology. His academic curiosity led him to pursue a Master of Science (M.Sc.) at the same institution, graduating in 2018 with advanced knowledge in mining processes and rock mechanics. Seeking to bridge engineering with computational technology, he earned his Ph.D. from Konya Technical University in 2024. His doctoral research focused on texture coefficient analysis through advanced image segmentation and neural networks, showcasing his interdisciplinary expertise. Each academic step has added to his growing repertoire of technical and analytical skills, allowing him to contribute significantly to academic research and industry applications. His academic path has consistently aligned with his mission to modernize and innovate within the mining sector.

Work Experience

Since 2021, Dr. Emre Karakaya has served as a Research Assistant in the Department of Mining Engineering at Konya Technical University. His work primarily revolves around mechanical mining, geological modeling, and applying artificial intelligence to solve complex problems in the mining sector. Dr. Karakaya has participated in and led university research projects aimed at creating predictive models using physical and mechanical rock properties. His hands-on experience with artificial neural networks and image processing techniques has enabled him to tackle challenges related to rock texture analysis and deliverability forecasting. He has also worked in collaboration with various academic teams to integrate digital tools in traditional mining practices. Prior to his current position, he gained research experience during his M.Sc. studies at Selçuk University. With a strong foundation in engineering and a passion for innovation, Dr. Karakaya continues to bridge academic theory with practical application in the evolving world of mining technology.

Research Focus

Dr. Emre Karakaya’s research focus lies at the intersection of mechanical mining, rock mechanics, and computational intelligence. His Ph.D. research explored innovative methods for calculating texture coefficients of rocks using image segmentation and image processing—paving the way for more accurate geological assessments. He is particularly interested in leveraging Artificial Neural Networks (ANNs) to predict rock behaviors and physical properties, thereby enhancing the efficiency of mining operations. His ongoing work includes building deliverability forecasting models based on the mechanical and physical characteristics of rock formations. With an eye toward practical implementation, his research addresses both academic gaps and industrial needs. By combining traditional geological sciences with emerging digital tools, Dr. Karakaya is helping redefine how mining data is collected, analyzed, and applied. His interdisciplinary approach has made meaningful contributions to automated mining systems and remote geological analysis, aligning with global trends in smart mining and sustainable resource extraction.

🛠️ Skills

Dr. Emre Karakaya brings a diverse and specialized skill set to the field of mining engineering. His core competencies include mechanical mining, mining process optimization, and geological modeling. He has advanced proficiency in image processing, texture analysis, and segmentation algorithms, which he applies in evaluating rock properties. He is skilled in Artificial Neural Networks (ANNs) and machine learning models, especially for predictive forecasting in mining operations. His technical skills are supported by strong analytical abilities and software proficiency in tools such as MATLAB, Python, and specialized mining software. Dr. Karakaya also demonstrates effective project management capabilities, having led multiple university-sponsored research projects. His strong background in academic writing, data interpretation, and publication contributes to his success as a researcher. Furthermore, his collaborative approach and ability to communicate complex technical information make him an effective educator and team member in interdisciplinary environments.

Conclusion

Dr. Emre Karakaya is a strong candidate for the Best Research Article Award, especially in fields blending traditional engineering disciplines with artificial intelligence and image analytics. His article, derived from his doctoral thesis, reflects originality, methodological rigor, and application relevance. While citation traction is still developing, his innovative approach and practical outcomes align well with the award’s goal to honor high-impact, forward-thinking research. Enhancing visibility and international reach can further elevate his work’s influence.

Publications to Noted

📘 1. A New Approach for Calculating Texture Coefficients of Different Rocks with Image Segmentation and Image Processing Techniques

Authors: Emre Karakaya
Journal: Microscopy Research and Technique
Publication Date: May 26, 2025
Citations: Data not available at this time.

🏞️ 2. Cihanbeyli-Celil Boğazı (Konya) Peri Bacalarının Araştırılması ve Fiziko-mekanik Özelliklerinin Belirlenmesi

Authors: Niyazi Bilim, Bilgehan Kekeç, Emre Karakaya, Özer Karakayacı
Journal: Konya Journal of Engineering Sciences
Publication Date: June 1, 2023

🛠️ 3. Penetration Rate Prediction Models for Core Drilling

Authors: Emre Karakaya, Niyazi Bilim
Journal: Mining, Metallurgy & Exploration
Publication Year: 2021

🛰️ 4. Applications of Terrestrial Laser Scanning (TLS) in Mining: A Review

Authors: Bilgehan Kekeç, Niyazi Bilim, Emre Karakaya, Dhikra Ghiloufi
Journal: Türkiye Lidar Dergisi
Publication Year: 2021
Citations: 1 CrossRef citation as per DergiPark profile.

🔧 5. Delme Hızı ve Baskı Kuvvetinin Enerji Tüketimine Etkisinin Araştırılması (Investigation on the Effect of Drilling Speed and Pressure Force on Energy Consumption)

Authors: Niyazi Bilim, Emre Karakaya
Journal: Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi
Publication Date: March 1, 2019

🧂 6. Çözeltİ Madencİlİğİ Yöntemİyle Kaya Tuzu Üretİmİ (Rock Salt Production by Solution Mining Method)

Authors: Prof. Dr. Niyazi Bilim, Emre Karakaya
Journal: Konya Journal of Engineering Sciences
Publication Date: December 1, 2020

Mohammed Endris | Marketing | Best Researcher Award

Published on 29/05/202529/05/2025 by TOT Awards

Mr. Mohammed Endris | Marketing | Best Researcher Award

PhD Student at Arba Mainch University, Ethiopia

Mohammed Ahmed Endris is an Assistant Professor of Management at Debre Berhan University, Ethiopia, where he has served since 2008. With over 15 years of academic and research experience, he specializes in business strategy, economic policy, and globalization impacts. His scholarly interests span across economic liberalization, privatization, and the export competitiveness of emerging economies. Passionate about driving academic excellence and practical change, he contributes actively to curriculum development and institutional reform. Mohammed is also affiliated with Indira Gandhi National Open University, where he contributes to vocational education initiatives. His multidisciplinary approach and collaborative projects with international institutions reflect a deep commitment to transformative education and applied research. A strong advocate of quality education and innovation, he continues to influence both academic communities and policy discussions through his publications and participation in national and global forums.

professional profile

ORCID

Education

Mohammed Ahmed Endris holds a Bachelor’s degree in Business Management from Jimma University, Ethiopia, where he laid the foundation for his academic and analytical acumen in organizational behavior and economics. He later pursued an MBA from Indira Gandhi National Open University (IGNOU), India, beginning in June 2014. This international exposure expanded his competencies in strategic management, financial systems, and policy analysis. His education has been marked by a blend of theoretical knowledge and practical insights, equipping him to understand complex management systems across global and local contexts. He has continuously engaged in professional development and capacity-building programs, both as a participant and facilitator, further enriching his expertise. His multidisciplinary academic background serves as the cornerstone of his research in economic reforms and their implications on industrial competitiveness, particularly in developing economies like Ethiopia.

Work Experience

Since February 2008, Mohammed Ahmed Endris has served as an Assistant Professor of Management at Debre Berhan University in Ethiopia. With over 15 years of teaching, research, and mentoring experience, he has played a pivotal role in shaping the academic direction of the university’s management department. His courses span core areas such as business strategy, economics, and international business. Beyond classroom instruction, Mohammed has taken on administrative and advisory responsibilities, contributing to curriculum reforms and faculty development. His affiliation with IGNOU’s Institute for Vocational Education and Training in India adds an international dimension to his academic profile, where he provides guidance and shares best practices. Throughout his academic journey, he has led and participated in collaborative research projects, publishing multiple peer-reviewed articles. His real-world orientation and policy-focused research have earned him respect among peers and students alike, helping bridge the gap between academic theory and industrial application.

Research Focus

Mohammed Ahmed Endris’s research focuses on the intersection of economic liberalization, globalization, and business competitiveness. His studies explore how policy reforms—especially those post-1991 in Ethiopia—have impacted the export performance of manufacturing firms. He critically analyzes privatization outcomes and international trade strategies, offering evidence-based recommendations for policymakers and industry leaders. His interest extends to the dynamics of global supply chains, organizational adaptation to liberalized economies, and the strategic alignment of firms to international standards. Through comparative and longitudinal studies, he investigates both macroeconomic policies and microeconomic firm behaviors. Mohammed’s research often bridges the theoretical frameworks of business management with practical policy implications, making his work relevant to academics, government agencies, and international organizations alike. His goal is to support sustainable industrial transformation in developing nations, fostering inclusive growth through informed policy and managerial innovation. His interdisciplinary perspective ensures that his work remains impactful across sectors.

Conclusion

Mohammed Ahmed Endris is a strong candidate for the Research for Best Researcher Award, particularly in the context of African economic reform studies. His long-term dedication to academia, combined with his recent publications and international academic links, showcases scholarly potential and commitment. With minor improvements in publication diversity and quantitative research metrics, his profile would be even more competitive on a global stage.

Publications to Noted

Dynamic Effects of Economic Liberalization, Privatization, and Globalization on the Export Performance of Ethiopian Privatized Manufacturing Firms

Journal: Administrative Sciences

Year: 2025

Authors: Mohammed Ahmed Endris

Ethiopian Economic Liberalization Policy Domains and International Competitive Priorities: Nexus of Export Performance of Manufacturing Firms After 1991 Economic Reforms

Journal: World

Year: 2025

Authors: Mohammed Ahmed Endris

Erratic Views and Policy Inconsistency on Privatisation Modalities in Ethiopia: Implications on the Performance of Firms in the International Market – A Systematic Review

Journal: Research on Enterprise in Modern Economy: Theory and Practice

Year: 2024

Authors: Mohammed Ahmed Endris

Route for Sustainable Development in Ethiopia: Opportunities and Braves of Good Governance

Journal: African Journal of Political Science and International Relations

Year: 2017

Authors: Idris Mohammed, Mohammed Ahmed

Marketing Practices and Challenges of Mung Bean in Ethiopia Amhara Regional State: North Shewa Zone in Focus

Journal: African Journal of Marketing Management

Year: 2017

Authors: Mohammed Ahmed, Muhammed Siraj, Said Mohammed

Ethiopia Commodity Exchange: Marketing Prospects and Challenges in Focus

Journal: African Journal of Marketing Management

Year: 2017

Authors: Mohammed Ahmed Endris

Parinaz Hosseini | Graphene devices | Best Researcher Award

Published on 28/05/202528/05/2025 by TOT Awards

Mrs. Parinaz Hosseini | Graphene devices | Best Researcher Award

Phd. Student at Iran University of Science and Technology, Iran

Parinaz Hosseini is a dedicated Ph.D. student in Electrical Engineering specializing in Telecommunications at the Iran University of Science and Technology. With a solid academic foundation and a profound passion for research, Parinaz is making significant strides in the advanced fields of graphene-based reflectarrays and transmitarrays. She completed her undergraduate and master’s degrees at Shahid Beheshti University, focusing on electrical engineering with specialties in telecommunications and analog electronics, respectively. Her research integrates cutting-edge technologies with innovative design techniques, aiming to revolutionize terahertz frequency applications. Known for her independent and solution-oriented research approach, Parinaz has published in high-impact journals and contributes meaningfully to academic advancements under the supervision of Dr. Homayoon Oraizi. Her strong theoretical knowledge combined with practical skills and a research-driven mindset positions her as a rising scholar in health informatics and communication systems. Parinaz actively engages with international scientific communities through research, publication, and technical collaborations.

professional profile

ORCID

Education

Parinaz Hosseini began her academic journey with a Bachelor’s Degree in Electrical Engineering (Telecommunications) from Shahid Beheshti University, one of Iran’s premier institutions. Her undergraduate studies laid the foundation for an in-depth understanding of signal processing, electromagnetic theory, and communication systems. Building on this strong base, she pursued her Master’s Degree in Electrical Engineering (Analog Electronics) at the same university, delving deeper into analog circuit design, system integration, and microelectronics. Currently, she is enrolled in a Ph.D. program at the Iran University of Science and Technology, specializing in Telecommunications. Her doctoral research centers on cutting-edge innovations in terahertz reflectarrays using graphene—a transformative area in advanced wireless communications. Throughout her academic path, Parinaz has demonstrated exceptional analytical capabilities, perseverance in complex problem-solving, and a genuine passion for interdisciplinary exploration in electrical and telecommunication engineering.

work Experience

Parinaz Hosseini is currently engaged in academic research as a Ph.D. student at Iran University of Science and Technology, where she focuses on the design and analysis of graphene-based reflectarray antennas for terahertz applications. Working under the mentorship of Dr. Homayoon Oraizi, Parinaz has independently led research projects involving advanced electromagnetic simulations, nano-material behavior analysis, and antenna structure optimization. Her experience encompasses both theoretical modeling and practical implementation using industry-standard software tools. She has also contributed to research consultancies and co-authored scholarly publications. Beyond technical competencies, she has actively participated in seminars and collaborative research workshops. Her previous roles in master’s and bachelor’s projects involved analog system design and practical telecommunications experiments, showcasing her ability to translate complex electrical concepts into functional prototypes. Parinaz brings a robust mix of academic diligence, hands-on technical application, and collaborative teamwork to her research and broader academic environment.

Research Focus

Parinaz Hosseini’s research centers on the design, simulation, and optimization of graphene-based reflectarrays and transmitarrays at terahertz frequencies—technologies considered pivotal for the future of wireless communication, biomedical imaging, and high-resolution sensing. Her work integrates material science, antenna theory, and high-frequency electronics, aiming to develop highly efficient, reconfigurable, and miniaturized antenna systems. Her doctoral project investigates the electromagnetic behavior of graphene under varying conditions and proposes cluster-based design methodologies to enhance beam steering and signal control. Parinaz’s research bridges theoretical electromagnetics and practical design, contributing to the advancement of next-generation telecommunication systems. Her recent publication in Scientific Reports presents a novel approach to THz reflectarray design, utilizing cell clusters for improved functionality. Her goals include expanding the application of her research into biomedical sensing and intelligent antenna networks, placing her at the intersection of applied physics, electrical engineering, and real-world innovation.

Conclusion

Parinaz Hosseini exhibits strong potential as a young researcher in the field of telecommunications and advanced materials. Her publication in a high-ranking journal and her pioneering research on terahertz reflectarrays using graphene mark her as an emerging contributor in her domain. While she would benefit from broader dissemination of her work, more engagement with the global research community, and stronger citation metrics, her independent innovation and technical rigor make her a deserving candidate for the Best Researcher Award – Emerging Category or Early Career Researcher. With targeted support and opportunities for collaboration, she could evolve into a leading expert in future wireless and photonic technologies.

Publications to Noted

📄 1. “Fully Controllable Beam‐Steering 1‐THz Transmitarray Using Graphene–Metal Hybrid Metasurface”

Authors: Parinaz Hosseini, Homayoon Oraizi
Journal: IET Microwaves, Antennas & Propagation
Publication Date: January 2025

📄 2. “Analysis and Design of Terahertz Reflectarrays Based on Graphene Cell Clusters”

Authors: Parinaz Hosseini, Homayoon Oraizi
Journal: Scientific Reports
Publication Date: December 21, 2022